SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Lee C, Hellinga B, Saccomanno FF. Transp. Res. Rec. 2003; 1840: 67-77.

Copyright

(Copyright © 2003, Transportation Research Board, National Research Council, National Academy of Sciences USA, Publisher SAGE Publishing)

DOI

unavailable

PMID

unavailable

Abstract

The likelihood of a crash or crash potential is significantly affected by the short-term turbulence of, traffic flow. For this reason, crash potential must be estimated on a real-time basis by monitoring the current traffic condition. In this regard, a probabilistic real-time crash prediction model relating crash potential to various traffic flow characteristics that lead to crash occurrence, or "crash precursors," was developed. In the development of the previous model, however, several assumptions were made that had not been clearly verified from either theoretical or empirical perspectives. Therefore, the objectives of the present study were to (a) suggest the rational methods by which the crash precursors included in the model can be determined on the basis of experimental results and (b) test the performance of the modified crash prediction model. The study found that crash precursors can be determined in an objective manner, eliminating a characteristic of the previous model, in which the model results were dependent on analysts' subjective categorization of crash precursors.

Language: en

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print